At a Glance
- Tasks: Own the full data journey from pipelines to impactful dashboards using AI tools.
- Company: Join a high-growth fintech scale-up redefining data-driven financial decisions.
- Benefits: Competitive daily rate of £550-650, with potential for temp-to-perm.
- Other info: Dynamic role blending analytics, engineering, and AI in a fast-paced environment.
- Why this job: Shape data models and craft dashboards that drive real business insights.
- Qualifications: Strong experience in BI, data modelling, and familiarity with Snowflake and dbt.
We’re partnering with a high-growth fintech scale-up that is redefining how data drives financial decision-making, combining a modern data stack with AI-powered workflows to radically speed up how analytics and dashboards are built and iterated. They’re now looking for an Interim Data Consultant who uses AI as part of their day-to-day toolkit to build better dashboards faster, improve data models, and shorten the path from question to insight.
This is not a traditional Data Analyst role or a pure Data Engineering role. It’s a hands-on position sitting between BI, Analytics, AI and Engineering where you’ll own the full journey from pipeline and data model through to high-impact dashboards and decision-ready outputs for commercial, finance and portfolio analytics teams.
The Role
- Own end-to-end delivery: from data pipelines and transformations through to modelling and dashboards.
- Build scalable data models in Snowflake + dbt, working closely with a central data engineering team where needed.
- Develop high-impact dashboards in tools like Sigma, Power BI, Tableau or Looker, focused on usability for commercial, finance and portfolio analytics teams.
- Use AI tools such as Claude Code to accelerate coding, refactoring, documentation, and analytical exploration.
- Translate commercial and financial questions into clear, practical reporting and analytics outputs.
- Iterate quickly based on feedback, continuously improving structure, performance and usability.
You’ll be embedded in a commercial, delivery-focused environment where your work is directly tied to how fast the business can understand portfolio and financial performance and make decisions.
What They’re Looking For
- A rounded interim data consultant, with strong visualisation experience but not someone who lives only in the dashboards or in backend pipelines.
- Strong BI / analytics and dashboard development experience.
- Solid data modelling and data pipeline experience (data warehousing concepts are essential).
- Experience with Snowflake and dbt or a very similar modern stack.
- Strong SQL; Python beneficial.
- Day-to-day comfort using AI tools (e.g. Claude Code, LLM-based assistants) as part of your workflow.
- Experience working end-to-end rather than relying entirely on separate data engineering teams.
- Financial services / investment / Private equity / asset management / fintech exposure highly preferred.
If you’re the person who likes to shape the data model, tune the pipeline, and craft the dashboard so it all hangs together, this is the role for you. It can also be temp-to-perm for the right candidate.
The Stack
- Snowflake (must have)
- dbt (must have)
- Power BI or Tableau or other dashboard (Must have)
- Sigma BI (Sigma experience is a bonus, but any strong modern BI background is transferable)
- Claude Code and broader AI-enabled analytics tooling.
Interested? Apply directly or send your CV to.
Analytics Consultant in Slough employer: Siena Partnership
Join a dynamic fintech scale-up that is at the forefront of transforming financial decision-making through innovative data solutions. With a strong emphasis on collaboration and continuous improvement, this company offers a vibrant work culture where your contributions directly impact business outcomes. Employees benefit from hands-on experience with cutting-edge AI tools, opportunities for professional growth, and the chance to work in a fast-paced environment that values creativity and agility.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Consultant in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work with data. Use platforms like LinkedIn to connect and engage with industry professionals. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best dashboard designs and data models. This is your chance to demonstrate how you can turn complex data into clear insights. Make sure to highlight any experience with AI tools like Claude Code!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Snowflake, dbt, and your approach to building scalable data models. Practice explaining your thought process when tackling analytics challenges.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team!
We think you need these skills to ace Analytics Consultant in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of an Analytics Consultant. Highlight your experience with data pipelines, dashboards, and any AI tools you've used. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've built scalable data models or high-impact dashboards. This helps us understand your hands-on experience and how you approach problem-solving in a commercial environment.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your experience and avoid jargon unless it's relevant. We appreciate clarity as much as complexity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Siena Partnership
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, especially Snowflake and dbt. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your AI Savvy
Since this role involves using AI tools like Claude Code, be prepared to share specific examples of how you've integrated AI into your analytics workflow. Discuss any challenges you faced and how you overcame them.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems or improve existing processes. Think about how you would approach building a data model or dashboard from scratch and be ready to explain your thought process.
✨Emphasise Collaboration
This role sits between various teams, so highlight your experience working cross-functionally. Share examples of how you’ve collaborated with BI, engineering, and commercial teams to deliver impactful analytics solutions.
